As a seasoned data scientist with an impressive track record spanning over 17 years, my expertise in Python, statistical analysis and data processing make me ideally suited for your project. I have an astute understanding of financial datasets and specialized in crafting inventive strategies to identify anomalies and improve revenue generation. Your requirement for anomaly detection in financial statements aligns perfectly with my skills. Moreover, I am proficient in XBRL, the data format used in balance sheets and income statements that you mentioned facing challenges with.
Being highly competent in data modelling and utilizing AI & ML techniques, I can not only read but also effectively analyze your XBRL files to flag any irregular patterns or discrepancies for further investigation. From enriching customer journeys to optimizing design, my career highlights have consistently revolved around upholding work quality, practicing good ethic, and delivering beyond expectations—traits that you'll undoubtedly value in this project.
With me on board, you can expect integrity, consistency,time management,, design optimization - everything needed to make this project resounding success. Look forward to working with you!